Olivier Pietquin

Deep Q-learning From Demonstrations

Todd Hester, Matej Vecerík, Olivier Pietquin et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2018 · 809 citations · Full text

Computing, Autonomous Systems, Computer Science +15

Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards

Todd Hester, Jonathan Scholz, Fumin Wang et al. · arXiv (Cornell University) · 2017 · 510 citations · Full text

Engineering, Computer Science, Human-robot Interaction +16

GuessWhat?! Visual Object Discovery through Multi-modal Dialogue

Harm de Vries, Florian Strub, Sarath Chandar et al. · 2017 · 405 citations · Full text

Computing, Computer Science, Artificial Intelligence +16

Noisy Networks for Exploration

Meire Fortunato, Mohammad Gheshlaghi Azar, Bilal Piot et al. · arXiv (Cornell University) · 2017 · 390 citations · Full text

Computing, Computer Science, Artificial Intelligence +16

AudioLM: A Language Modeling Approach to Audio Generation

Zalán Borsos, Raphaël Marinier, Damien Vincent et al. · IEEE/ACM Transactions on Audio Speech and Language Processing · 2023 · 372 citations

Computing, Linguistics, Natural Language Processing +14